Proceedings of the Third SIAM International Conference on Data Mining

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The third SIAM International Conference on Data Mining provided an open forum for the presentation, discussion and development of innovative algorithms, software and theories for data mining applications and data intensive computation. This volume includes 21 research papers.The standard approach to using such data in statistical models that require at
least ordinal data is to create dummy variables, ie the presence or absence of an
item. Instead, it is possible to treat the code as a text word, and to use text
analysis to examine the data. In this paper, two examples from the healthcare
industry are examined. The first examines ICD-9 codes that are used in Medicare
billing to list patient risk factors and complications. The second examines
medicationsanbsp;...

Title

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Proceedings of the Third SIAM International Conference on Data Mining

Author

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Daniel Barbara, Chandrika Kamath

Publisher

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SIAM - 2003-01

ISBN-13

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